Total 1,744 Education / Training job vacancies

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for SMU Resilient Workforces Institute (ResWORK)
• Implement AI models, explanations, and interactive ML techniques.
• Design and implement web-based prototypes.
• Conduct analyzing experimental and interaction data.Contribute to technical documentation and demonstrations.

• Minimum Bachelor's in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 1 years of relevant research experience in AI and machine learning.
• Experience in web-based prototyping.

#LI-XL1

Pilates Apprenticeship - Singapore

Are you passionate about Pilates and looking to turn your love for transforming people's lives into a fulfilling career? Look no further than the Pilates Apprenticeship Scheme at Options Pilates!

As an international chain of studios in Singapore and Hong Kong, we are excited to be growing our team in Singapore and seeking apprentices to join us on this journey. As a licensed Pilates education center, we provide you with a complete Pilates education and certification, ensuring you have the tools and knowledge needed to succeed as a Pilates instructor.

But the benefits don't stop there. Our apprenticeship program provides endless opportunities for career advancement, whether it's expanding your capabilities as an instructor, becoming a mentor or master trainer, or even managing others.

If you're a qualified Pilates instructor, we also welcome you to apply for our part-time or full-time instructor positions. Join the best Pilates studio in Asia and make your passion your career. Apply now and start transforming lives!

Requirements

1. To be eligible to apply for our Pilates Apprenticeship Scheme, you must be a Singaporean citizen or permanent resident.
2. In addition to the Pilates training that you'll receive from us, working as a Pilates instructor requires excellent people skills and communication abilities. You should enjoy working with people, both in one-on-one and team settings, and be able to build strong relationships with your clients.
3. To ensure that you have a strong foundation in Pilates, we require that you have taken 20 or more Pilates classes and have a good understanding of the differences between group and private classes.
4. You must have carefully thought about changing your career and be fully committed to become a Pilates instructor.
5. Full-time and Part-time opportunities available.

Benefits

As an apprentice, we'll cover the cost of your education and provide you with access to our studio space for practicing. You'll also receive ongoing mentorship from our team of senior instructors who are committed to helping you grow and develop as an instructor.

Even after you become a certified Pilates instructor, we'll continue to support your career advancement. We offer in-house training and mentoring free of charge to our instructors, giving you the tools and knowledge needed to stay at the forefront of the industry.

At Options Pilates, we believe in investing in our team and helping them achieve their full potential. Join us and discover the benefits of a rewarding career in Pilates instruction.

Expectations

We're seeking driven candidates who are passionate about Pilates and dedicated to honing their skills. We expect our apprentices to be committed to learning and hardworking, with a strong work ethic and a desire to grow and develop as instructors.

To succeed in our Pilates Apprenticeship Scheme, you'll need to be willing to dedicate plenty of time and effort to your training. We're seeking individuals who are eager to learn, practice, and improve their Pilates techniques, and who are motivated to succeed in a challenging but rewarding career.

How To Apply

Please send us an email to jobs@options-studio.com including the following

1. A brief introduction of yourself along with a CV (Subject line “Instructor Trainee position”)
2. Please include answers to the following questions in the introduction:

• "Have you done Pilates before? Please elaborate, what kind of Pilates have you done, have you done group or private lessons, what is your understanding of it, why do you like it"
• “Do you workout regularly? Please elaborate (what kind of exercises, how frequent, how active you are)”
• "What is your current job, and what made you decide on a career change?"
• “What made you decide to become a Pilates instructor?”

Please be as thorough as possible, this is a chance to let us know why you are a good candidate for the traineeship. (Please keep in mind that there are many candidates who want a free Pilates education, why should we pick you?)

We will send more information about the apprenticeship via email after we receive your application.

Why Join Us? 

• Competitive salary with year-end rewards, including service bonus up to $10,000. 

• Stable job with career growth opportunity. 

• Friendly and supportive management. 

Job Responsibilities: 

• Drive prime mover truck to transport shipping containers within PSA Pasir Panjang Terminal. 

• Ensure safe and efficient movement of containers between ships and designated locations. 

Job Requirements: 

• No experience needed- training and certification provided. 

• PSLE pass in English. 

• Possessing a Singapore Class 3, 4, or 5 driving licence (Sponsorship available for Class 3 licence). 

• Safety-conscious with a good driving record. 

• Able to handle shift work and outdoor conditions. 

Work Schedule: 

• Day Shift: 7:30 AM to 7:30 PM (meal break included). 

• Night Shift: 7:30 PM to 7:30 AM (meal break included). 

• Choose between day, night, or rotating shifts, with flexible rostering available (subject to operational needs). 

Need More Information? 

Call or text us at +65 9886 6515 to speak with one of our friendly career advisors. They’ll be happy to answer your questions and guide you through the application process! 

How to Apply: 

Click the Apply Now button and submit your updated resume. We look forward to welcoming you to our team! 

Job Title: Research Technician/Assistant (Sputtering Systems)

About Us
We are an early-stage venture team developing advanced thin film materials and deposition workflow technologies for applications in optics, photonics, and memory. Our work focuses on high quality coatings and process development using sputtering-based techniques.

Role Overview
We are looking for a hands-on and reliable research technician to operate and manage our sputtering system, support day-to-day experimental work, and ensure smooth lab operations. This role is critical in enabling consistent thin film deposition for internal R&D and external projects.

Key Responsibilities
• Operate and manage a sputtering system (e.g. AJA International sputtering system) independently
• Perform thin film deposition for various projects and customer requirements
• Execute day-to-day experiments following defined process parameters and protocols
• Troubleshoot equipment issues and process deviations
• Perform basic maintenance and minor repairs, including vacuum systems (pumps, leak checks, seals), gas lines and plumbing and electrical connections and wiring
• Support process optimization and data collection
• Maintain proper documentation of experiments, parameters, and results
• Ensure safe operation of equipment and adherence to lab safety protocols

Requirements• Minimum Diploma in Engineering (Materials Science, Electrical, Mechanical, or related field)
• Prior experience operating sputtering or vacuum deposition systems is strongly preferred
• Familiarity with vacuum systems, gas handling, and thin film processes
• Hands-on experience with basic troubleshooting and maintenance
• Comfortable working with electrical systems, plumbing / gas lines, mechanical components
• Ability to work independently and take ownership of equipment and processes

Preferred Qualifications (Nice to Have)• Experience with sputtering systems or similar PVD tools
• Background in thin film characterization or materials processing
• Experience in a research lab or cleanroom environment

What We’re Looking For• Practical, hands-on problem solver
• Detail-oriented and reliable
• Able to run experiments independently
• Comfortable working in a startup environment (flexible, fast-paced)

Why Join Us• Opportunity to work on cutting-edge materials and technologies
• High ownership and impact in a growing startup
• Exposure to both research and real-world applications

Location: Singapore (SUTD campus, with potential access to shared/collaborators’ lab facilities)

Salary: Up to $3,500

Working Schedule: 44 hours per week

Location: Tampines/ Tiong Bahru

Job Duties:

• Plan and deliver English lessons for preschool/ early childhood students.

• Create a positive and engaging classroom environment.

• Monitor students’ learning progress and development.

Requirements:

• L2 certified in Early Childhood Education is required.

• Good communication and classroom management skills.

• Responsible, patient, and able to work well in a team.

Job Summary

We are looking for motivated and affable individuals who can work in a challenging and fast-paced environment.

Responsibilities

• Respond promptly and professionally to walk-in customers and incoming phone enquiries to provide accurate information and assistance
• Conduct course consultations and ensure timely follow-up to support prospective and current students
• Address and resolve general feedback and complaints to maintain customer satisfaction
• Perform general administrative tasks including accurate data entry and organized filing to support office operations
• Process new student registrations and payments efficiently to ensure smooth enrollment
• Provide administrative support to teachers by preparing materials needed for classes
• Assist with ad-hoc tasks as required to support team and operational needs
• Adapt to rotating shifts including weekends to maintain continuous service coverage

Required competencies and certifications

• Ability to work independently in a fast-paced environment
• Bilingual proficiency in English and Mandarin to communicate effectively with Mandarin-speaking associates
• Proficiency in MS Word and Excel for administrative and data management tasks

Preferred competencies and qualifications

• Completion of at least A Level or Diploma
• O Level graduates with relevant working experience
• Strong passion for customer service
• Meticulous and systematic approach to administrative procedures

Other Information

• Work locations include Sengkang, Punggol, Yishun, Pasir Ris, Tengah, and Chua Chu Kang

Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster liveability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is until June 2028 under the M3S program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Responsibilities

The SMART-T7 project concerns the design of human-machine systems for the scheduling and allocation of valuable resources in ways that accommodate and optimize for the needs and capabilities of both humans and machines. The project aims to solve diverse use cases in a broad set of application contexts.

The management of large-scale service and infrastructure systems—such as airport operations, urban mobility, last-mile logistics, robotic fleet management and other smart city applications—requires making tightly coupled scheduling and resource allocation decisions under significant operational complexity. These systems are characterized by high-dimensional, combinatorial decision spaces (e.g., assigning flights to gates, vehicles to multi-service tasks, lockers to dynamic demand, or robotic agents to coupled tasks), where interactions and coordination requirements between entities—such as connecting passengers, pooled service requests, customer time windows, and robotic tasks—often introduce intractable structures. At the same time, decision-makers must balance multiple, often conflicting objectives across stakeholders, including efficiency, reliability, and equity, while accounting for dynamic and stochastic demand patterns. The project addresses these challenges through a combination of advanced optimization methods (e.g., flow-based models that strengthen tractability, decomposition methods), learning-enhanced approximations (e.g., embedding-based representations of complex interactions, passenger flow estimation using generative techniques), and artificial intelligence (e.g., AI-powered digital twin simulations). Together, these approaches enable scalable, real-time decision-making in complex environments, while explicitly capturing trade-offs between operational performance and user-centric outcomes, such as passenger experience, system utilization, and service responsiveness.

The SMART-T7 team is led by Professors Alexandre Jacquillat, Jinhua Zhao, Hamsa Balakrishnan, Amedeo Odoni, and Jason Jackson from MIT, and Professor Hai Wang from Singapore Management University.

The successful candidate will work closely with Professors Alexandre Jacquillat (MIT), Hai Wang (Singapore Management University) and Bo Lin (National University of Singapore). The broad objective of the research will be to harness the power of operations research, AI, data science, and other disciplines to enhance the efficiency and effectiveness of human-machine systems. The primary application areas are smart city operations and robotic fleet management. The research will work at the interface of large-scale optimization, data-driven decision-making, the AI-optimization interface, and digital twin simulation. We invite applicants who hold or about to get a doctoral degree in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines. We particularly welcome candidates with expertise and experience in the integration of AI and decision-making:

Key Responsibilities

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier journals and conferences and disseminate research findings through presentations and other means.
• Mentor graduate and undergraduate researchers involved in related projects.
• Assist with grant writing, project management, and administrative research duties.
• Perform other duties as needed. 

Requirements

• Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines by the start of the appointment.
• Expertise 1: Experience with general methods in decision-making under uncertainty, including integer and combinatorial optimization, stochastic and robust optimization, dynamic programming, large-scale optimization, and simulation-based optimization; and/or
• Expertise 2: Experience with general methods in artificial intelligence and machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, and LLM.
• Experience in the integration of artificial intelligence and decision-making.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Our client is a well-established MNC specializing in precision manufacturing and engineering solutions, supporting customers across various industries globally. Due to their current expansion plan, they are looking for a Key Account Specialist (Entry Level) – Engineering to join their commercial team. They are located in the (West) – easily accessible.

Responsibilities for Key Account Specialist (Entry Level) :

• Manage assigned customer accounts and act as the main point of contact for commercial matters

• Coordinate RFQs, quotations, costing submissions, and follow-up activities

• Support account growth through new program opportunities and product expansion initiatives

• Liaise with engineering, operations, quality, and production teams on customer requirements

• Track project milestones, sample builds, engineering deliverables, and program timelines

• Coordinate customer requests, project updates, and issue follow-ups across multiple manufacturing sites

• Support new product introduction (NPI) activities and project handovers to operations

• Maintain quotation records, sales pipelines, account documentation, and forecasting updates

• Monitor customer complaints, corrective actions, and resolution progress with internal teams

• Assist in preparing business proposals, account reviews, presentations, and commercial reports

• Support cross-site coordination activities involving Singapore, Malaysia, and China operations

• Follow up on opportunity pipelines and support conversion of projects into mass production programs

Requirements:

• Diploma or Degree in Engineering, Business, or related discipline

• Candidates with 1–3 years of relevant experience in account management, sales coordination, customer support, or manufacturing environments are advantageous

• Exposure to precision plastics, tooling, Electronic Manufacturing Services (EMS), or contract manufacturing industries will be an added advantage

• Familiar with RFQ processes, quotations, project coordination, and customer support functions

• Training Provided

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: job•@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.

Role Overview

As a ML Quality Assurance Engineer at Derq, you will play a critical role in ensuring the reliability, accuracy, and performance of our computer vision and machine learning based products. You will work closely with our development team to design and execute comprehensive test strategies, identify and report defects, and help improve the overall quality of our customer facing AI products, using data analytics.

Key Responsibilities

• Collaborate with AI development and product teams to understand product requirements and design effective test plans and test cases for AI based products
• Strategize evaluation methodologies, gathering data and evaluation reporting
• Perform data analytics on large datasets
• Monitor and track anomalies within product’s content and statistics
• Train and deploy ML models to help boost product performance
• Create and maintain detailed documentation of test processes, methodologies, and findings
• Keep up to date with advancements in the field to optimize internal processes and workflows
• Interface and coordinate with Engineering team
• Foster a collaborative, proactive team environment that values shared success.

• Bachelor’s degree in an analytical domain such as Machine Learning, Computer Science, or a related discipline

• Python, Javascript and SQL Knowledge/Experience
• Familiarity with classical Machine Learning Models such as Random Forest, SVM, Naive Bayes
• Core understanding of mathematical concepts for statistical inference
• Hands on with spreadsheet based querying and analytics
• Proficient with annotation tools such as CVAT
• Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.)
• Good command of English both oral and written and reporting skills
• Knowledge of basic statistical principles coupled with logical thinking, coherent reasoning and a detail-oriented attitude

Position: Material Handler
Salary: up to $2500+AWS (no exp $2200)
Working Day: Mon-Fri
Working Hour: 8.30am-6pm
Working Location: Benoi | Lok Yang Way (company transport provided at Boon Lay MRT)

Job Responsibilities:

• Performing receiving, putting, checking, retrieving, loading, unloading and repackaging.
• Offering support to other teams when needed.
• Carry out any other work-related tasks as directed by superiors.

Qualifications & Requirements:

• Training Provided.

To Apply:

• You may email your resume to jj@alignrecruitment.com.sg for more information.
• Regret to inform that only shortlisted candidates will be contacted by our consultants.

Align Recruitment Pte Ltd (20C0253)
JJ Tan (Reg No. R23112681)

Job Summary:

You have our customers’ best interests at heart. It is you they look to for counsel when making decisions about their finances, big or small. Every decision of theirs matters to you, simply because it matters to them.

You see yourself as a companion on our clients’ journeys toward achieving their life goals. Given that no journey is ever the same, you take great care (and pride!) in tailoring your financial advice to meet each client’s unique needs and requirements.

You’re self-motivated, and always on the lookout for opportunities to grow – whether it is keeping up to date with industry trends, expanding your skill set, or building your network of customers through tele-prospecting, virtual or in-person interactions and customer outreach programmes. You are knowledgeable about the banks' products and services and can recommend financial planning solutions that address your customers' needs. With such drive and tenacity, it’s no surprise that you’re consistently meeting your personal goals and targets.

Last but not the least, you’re focused on building long-term relationships with our customers. It forms the foundation to all that you do. You seize every opportunity to excite new and existing clients by bringing them investment ideas and insurance solutions to help grow their wealth and protect their futures.

Benefits and Prospect

-Attractive remuneration and a comprehensive benefits package.

-Recognition program that provides qualifying employees the opportunity to travel to exciting overseas destinations.

-Structured training and on-the-job training to help you develop the skillsets you need for a career in financial planning and wealth management.

-Job scope consist of digital capabilities that enable hybrid work, giving you the ability to work from anywhere (from the branch/office, from home, while out meeting customers).

Requirements:

-Bachelor's degree from a recognized university or a diploma from a local polytechnic

-Interested in financial planning or wealth management.

• We regret that only shortlisted candidates will be notified.
  Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.
  
  PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

HR Admin Assistant
Salary: $2800 - $3100
Working Days: Mon – Fri (9am – 6pm)
Working Location: Changi

Job Responsibilities:

• Administrative support responsibilities include managing day-to-day tasks, office supplies, equipment, mail and other ad-hoc duties as assigned by department heads or managers.
• To source for good vendors for the company if needed and upkeep all company's assets, renewal of memberships, vehicle VPC and road-tax and insurance.
• Work closely with employment agencies and source for good candidates when required.
• Perform interview and select the right candidate for the company.

Requirements:

• Diploma in Human Resources 
• Training Provided
• Proficient in Microsoft Office

Email: supreme.jacksontan@gmail.com

Tan Yong Zhi (Jackson) | Reg: R24124461

The Supreme HR Advisory Pte. Ltd | EA No: 14C7279

Senior Research Nurse

• Office Location: Buona Vista, Singapore
• Working Hours: Morning/Noon Shift (45 hours per week)
• Monthly Salary: Hourly Rate + Completion Bonus
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Clinical Care & Excellence – Deliver professional care and management of clinical trial participants, ensuring privacy and confidentiality at all times.
• Data & Equipment Handling – Collect, verify, and store trial data accurately; operate biomedical equipment proficiently within the CRU.
• Safety & Emergency Preparedness – Apply biohazard safety precautions and participate actively in Code‑blue drills, leading during real emergencies.
• Screening & Trial Execution – Perform general screening activities and protocol‑related tasks under the guidance of the Study Nurse‑in‑Charge.
• Collaboration & Coordination – Work closely with pharmacists, technologists, and support staff to ensure smooth execution of trial activities and auxiliary services.
• Compliance & Documentation – Adhere to SOPs, GCP, and regulatory requirements; maintain accurate records and demonstrate commitment to training and policy compliance.

Requirement

• Registered with Singapore Nursing Board.
• Minimum 2 years of nursing experience in direct in patient nursing.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

Location (Nearest MRT): Redhill

Working Hours: Mon to Fri, Office hours

Job details:
• Coordinated training administration, including course nominations, applications, registrations, and attendance tracking.

• Processed training payments, reimbursements, and funding claims.

• Maintained training records, learning histories, and course catalogues in the Learning Management System (LMS).

• Provided administrative and logistical support for training programmes, including venue setup and training material preparation.

• Monitored post-training documentation, certifications, and course completion records.

Job requirements:
• Min Diploma in any courses
• Prior experience in HR

Interested candidates, kindly send a copy of your resume to: healthcare7@recruitexpress.com.sg

Jessica Fong Zhi Tong [R1879124]

Email Address: healthcare7@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No: 99C4599

We are seeking a proactive and detail-oriented professional to lead the administration and governance of industry and research collaborations.

• Basic Up to $6,500 + Attractive Bonuses
• West Area
• Permanent role

Responsibilities:

• Lead the full lifecycle management of College-level research agreements, including pre-contract advisory, drafting, internal clearance, negotiation support, execution, amendments, extensions, and project closure.
• Advise faculty and stakeholders on appropriate agreement structures, templates, and collaboration processes, ensuring alignment with University policies and governance requirements.
• Review agreements and key contractual clauses, identifying governance, compliance, operational, intellectual property, liability, and risk considerations prior to legal submission.
• Coordinate with Schools, faculty, central offices, and external stakeholders to facilitate timely negotiations, issue resolution, execution of agreements, and proactive management of bottlenecks or risks.
• Support College-level research initiatives and partnerships through the preparation of strategic reports, briefing notes, presentations, and summaries for leadership, senior management, and funding agencies.

Requirements:

• Possesses a Bachelor's Degree with 3 - 5 years of relevant experience in research administration, research agreements, research partnerships.
• Experience in managing complex research or industry agreements and engaging multiple internal and external stakeholders.
• Familiarity with Singapore’s research, innovation, and enterprise (RIE) ecosystem, including public-sector research funding and collaboration frameworks, would be advantageous.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec ‘s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd – 11C5781